Skip to content

Nabil-iium/Dataset_Visualisation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

ย 

History

8 Commits
ย 
ย 
ย 
ย 
ย 
ย 

Repository files navigation

Hi ๐Ÿ‘‹, I'm Nabiul Farhan Nabil

A Computer Science student who is passionate about Data Science

  • ๐Ÿ”ญ Iโ€™m currently working on Dataset Visualisation (twitter dataset)

  • ๐ŸŒฑ Iโ€™m currently learning Python, SQL, MySQL

  • ๐Ÿ’ฌ Ask me about Machine Learning, AI, NLP

  • ๐Ÿ“ซ How to reach me [email protected]

Connect with me:

nabiul farhan nabil

Languages and Tools:

c git mysql pandas photoshop python scikit_learn seaborn

Dataset_Visualisation

In this project I have taken the sentiment140 dataset. It contains 1,600,000 tweets extracted using the twitter api. The tweets have been labeled (0 = negative, 4 = positive). Here I have shown tokenization, vectorization on tweets. For visualising the most frequent words on the dataset, I have used WordCloud. I have also shown both the positive and negative labeled tweets words which are the most frequent in the dataset. This is a simple visualisation of the words from the dataset.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •